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Developing a Participatory Sustainability Framework: Integrating Vision Building and Participatory Assessment for Restoration in Mediterranean Agro-ecosystems
No full textAgricultural sustainability assessments (SA) often fail to translate into practice because they are designed without adequately reflecting local priorities and stakeholder values. This disconnect between scientific evaluation and real-world needs limits their effectiveness in guiding sustainable agricultural transitions. To address this gap and improve the practical application of agricultural SAs, we present a methodology for co-creating contextually relevant sustainability frameworks by integrating participatory visioning exercises that ground SA in stakeholder values and aspirations of desirable futures. The methodology, which involves a four-step process – collaborative vision-building workshops, qualitative data analysis of visions, scientist selection of indicators, and stakeholder validation – was implemented across five Mediterranean case studies. Results indicate a tendency for practitioners and policy actors to prioritise socioeconomic benefits while science-based actors focused on environmental aspects, highlighting the need for a balance across sustainability dimensions. Challenges relating to time constraints, stakeholder representation, and facilitation skills were encountered. Nevertheless, the study underscores the value of collaborative approaches for developing more effective and equitable pathways towards sustainable agricultural systems and demonstrates that visioning can bridge the science-practice gap by incorporating socioeconomic factors often overlooked in traditional assessments. Ultimately, the research advocates for a paradigm shift towards genuine collaborative partnerships and sustained stakeholder ownership of assessment processes
Resilience, Reworking, And Resistance Strategies of Turkish Food Retailers in Germany: Challenges and Opportunities for the Future
No full textThis study examines the impact of the structural transformation in the global retail industry—spanning supply, demand, and location dynamics—on ethnic grocery retailers and their strategic responses, using Turkish retailers in Germany as a case study. Theoretically, the research integrates Hess’s (2004) typology of embeddedness (territorial, societal, and network) with Katz’s (2004) framework of resilience, reworking, and resistance. Furthermore, it reconceptualizes the notion of "over-embeddedness" and critically revisits the Uppsala Internationalization Process Model through the lens of ethnic networks. Drawing on 23 semi-structured interviews conducted between 2020 and 2022 with retailers, producers, and industry experts, the study employs qualitative analysis to explore these dynamics. The findings reveal that structural transformations significantly challenge the competitiveness of ethnic retailers, particularly driven by changing consumption patterns among younger generations. Retailers characterized by high territorial and network embeddedness tend to adopt "reworking" strategies involving innovation and service diversification. Conversely, those with dominant societal embeddedness largely resort to "resistance" strategies aimed at preserving ethnic identity. Crucially, the study demonstrates that "over-embeddedness" can become a liability, creating structural rigidities that constrain innovation and limit strategic flexibility. Additionally, the thesis highlights the role of ethnic retailers as cultural and commercial bridges for the internationalization of Turkey-based food producers, while noting the risks associated with limited professionalism in these networks. These insights contribute to the economic geography and international business literature by elucidating the complex interplay between embeddedness, resilience, and strategic adaptation in ethnic markets
Interprofessional education (IPE) at institutions of higher education: A qualitative study on teacher beliefs in health-related degree courses
No full textUm den gegenwärtigen gesamtgesellschaftlichen Anforderungen und Herausforderungen im Gesundheitswesen Rechnung zu tragen, wird die interprofessionelle Zusammenarbeit (IPCP) gefordert. Daraus ergibt sich die Notwendigkeit interprofessionelle Kompetenzen im Rahmen von interprofessioneller Ausbildung (IPE) bei Fachkräften im Gesundheitswesen anzubahnen. Die Entwicklung von Kompetenzen in Bildungssettings ist in hohem Maße von der aktiven Rolle der Lehrpersonen geprägt. Die Überzeugungen dieser Lehrenden (engl. teacher beliefs) hinsichtlich des Lehrens und Lernens stellen eine maßgebliche Einflussgröße auf das pädagogische Handeln dar. Sie beeinflussen didaktische Entscheidungen und haben somit direkte Auswirkungen auf den Lernerfolg der Lernenden. Zu den Überzeugungen von Hochschullehrenden in Bezug auf IPE existieren in Deutschland bislang nur wenige empirische Untersuchungen. Vor diesem Hintergrund zielt die vorliegende Dissertation darauf ab, Einblicke in die Überzeugungen von Hochschullehrenden bzgl. der IPE zu gewinnen. Im Rahmen dieses Erkenntnisinteresses ergibt sich die zentrale Forschungsfrage: Welche Überzeugungen zur interprofessionellen Ausbildung (IPE) lassen sich bei Hochschullehrenden in gesundheitsbezogenen Studiengängen identifizieren? Dem wissenschaftlichen Bezugsrahmen ist zu entnehmen, dass die didaktisch-pädagogischen Entscheidungsgrundlagen bei der Gestaltung von IPE durch Hochschullehrende bislang unzureichend beleuchtet worden sind. Zudem ist wenig darüber bekannt, wie Hochschullehrende IPE im Allgemeinen verstehen und welche Kompetenzanforderungen sie im Zuge der IPE bei sich wahrnehmen. Um diesen Forschungslücken zu begegnen, wurden drei spezifische Schwerpunkte für die zentrale Forschungsfrage festgelegt, auf deren Grundlage die identifizierten Überzeugungen betrachtet wurden: 1) Was verstehen Hochschullehrende unter interprofessioneller Ausbildung (IPE) in gesundheitsbezogenen Studiengängen? 2) Wie erleben Hochschullehrende die interprofessionelle Ausbildung (IPE) in gesundheitsbezogenen Studiengängen? 3) Wie ist aus Sicht der Hochschullehrenden interprofessionelle Ausbildung (IPE) zu gestalten?
Zur Beantwortung dieser Fragestellungen wurden 16 qualitative, halbstrukturierte Interviews mit Hochschullehrenden durchgeführt, die zum Zeitpunkt der Erhebung interprofessionelle Bildungsangebote in gesundheitsbezogenen Studiengängen in Deutschland durchgeführt haben. Die erhobenen Daten wurden systematisch mittels der qualitativen Inhaltsanalyse nach Kuckartz und Rädiker (2022) ausgewertet.
Die Ergebnisse bezüglich der Lehrerüberzeugungen zum Verständnis von IPE zeigen, dass unterschiedliche Auffassungen darüber existieren, wie IPE definiert werden sollte und welche Bildungsformate als interprofessionell gelten. Ungeachtet dieser Unterschiede lassen sich
übergreifende Merkmale von IPE, wie das Lernen voneinander, miteinander und übereinander sowie der interprofessionelle Austausch, identifizieren. Zudem herrscht unter den Hochschullehrenden Einigkeit über die Zielsetzung von IPE: die Lernenden zu IPCP befähigen, um dadurch die Patient:innenversorgung zu verbessern. Die Ergebnisse hinsichtlich der Lehrerüberzeugungen zum Erleben von IPE verdeutlichen sowohl Herausforderungen als auch Chancen im Rahmen von IPE. Dabei zeigt sich insgesamt die Überzeugung, dass IPE notwendig ist und in die Aus-, Fort- und Weiterbildung der Gesundheitsberufe integriert werden sollte. In Bezug auf die Gestaltung von IPE konnten in den Untersuchungsergebnissen vielfältige Überzeugungen identifiziert werden, die von der curricularen Struktur bis hin zur konkreten Ausgestaltung einzelner interprofessioneller Bildungsangebote reichen. Zudem fanden sich Lehrerüberzeugungen zu didaktischen Besonderheiten interprofessioneller Lehr-/Lernangebote und die damit verbundenen (Rollen-)Anforderungen für IPE-Lehrende.
Die Ergebnisse stützen bestehende internationale Befunde der interprofessionellen Ausbildungsforschung und erweitern diese um nationale Erkenntnisse zu den Überzeugungen von Hochschullehrenden hinsichtlich des Verständnisses, Erlebens und der Gestaltung von IPE.
Darüber hinaus verdeutlichen die Ergebnisse die Relevanz von Faculty Development (FD), um Lehrende in der IPE bei ihrer Kompetenzentwicklung zu unterstützen. Vor diesem Hintergrund erscheint es sinnvoll, in der interprofessionellen Ausbildungsforschung Überzeugungen weiter zu berücksichtigen, um die Ergebnisse der vorliegenden Arbeit mit einer größeren Stichprobe und in unterschiedlichen Kontexten zu vertiefen
Geometry of rank-one tensors and typical (sub)ranks of order-three tensors
No full textAs generalizations of matrices to higher dimensions, tensors are ubiquitous in a wide range of fields such as data science, psychometrics, and various topics in mathematics. In particular, the rank of a tensor T is an important property that quantifies in a sense the degree of independence of the data stored in the d-dimensional table of numbers represented by an order-d tensor. The study of principal component analysis is a powerful tool in data analysis used to estimate the most important trends in a given dataset; mathematically, this is performed by approximating the data by a low-rank matrix. The study of geometric properties of rank-one tensors, known as the Segre variety, and ranks of random order-three tensors is a focus of this thesis.
If we think of an order-d tensor as storing the probabilities of different events based on d independent random input variables, the probabilities will be multiplicative, and hence the tensor will have rank one. In this setting, higher rank indicates interdependencies among the variables, which is very common in real-world applications. In addition, data inevitably contains noise, leading to a random component in the entries of the tensor. Even if the variables were to be completely independent, this noise would cause the rank of the tensor to be higher; indeed, the typical ranks of a given tensor size describe the possible ranks that a random tensor could take, and there are even small formats of tensors for which the typical ranks are only known from numerical simulations
Strategies for enhancing irrigation efficiency on turfgrass areas
No full textTurfgrass systems are a vital component of urban green infrastructure, providing functional, ecological, and aesthetic services in recreational, sporting, and public landscapes. However, maintaining high-quality turfgrass requires substantial water, which has become increasingly problematic in the context of global water scarcity, climate change, and environmental regulations. Efficient water use has become a priority in sustainable turfgrass management. Unlike traditional agricultural systems, turfgrass areas prioritize usability, plant growth, and aesthetics. Standards for sports turf construction focus on soil properties, drainage, and moisture retention, but increasing drought and water scarcity demand innovative irrigation strategies to maintain functionality. Traditional irrigation systems, particularly sprinkler-based methods, often result in inefficient water use due to wind drift, evaporation loss, and technically induced distribution inaccuracies. Conversely, subsurface drip irrigation offers targeted and potentially more efficient water delivery, though it poses challenges in adequately wetting the turfgrass rootzone. Irrigation delivery systems interact with soil physical properties and rootzone construction methods, thereby affecting water distribution, retention, and turfgrass quality. Efficient irrigation strategies require a nuanced understanding of soil–water dynamics, including the impact of rootzone construction methods and irrigation delivery systems on water retention characteristics and soil moisture distribution. This cumulative dissertation addresses the pressing need to enhance irrigation efficiency in turfgrass areas by systematically investigating the impact of rootzone construction methods on irrigation water distribution, retention, and turfgrass performance. This investigation focuses on using traditional and commonly used sprinkler irrigation (SPR) or subsurface drip irrigation (SDI). Moreover, the study aims to assess the application of numerical simulation models, specifically HYDRUS-2D, to predict and optimize irrigation efficiency under various rootzone–irrigation configurations, with the overarching objective of evaluating strategies to enhance irrigation efficiency in turfgrass areas. To achieve this objective, trials were conducted over several years, encompassing three complementary studies: empirical (field and controlled environment) and modeling-based. The research systematically explores how rootzone construction influences irrigation water distribution, retention, and turfgrass quality, particularly when paired with either SPR-irrigation or SDI. Furthermore, the study evaluates the application of numerical simulation models, specifically HYDRUS-2D, to predict and optimize irrigation efficiency under varying soil–irrigation configurations. The experiments were conducted under both controlled greenhouse and open field conditions. The first study was conducted under greenhouse conditions using controlled irrigation cycles and bare soil profiles (without grass cover) to isolate and analyze water distribution in response to irrigation delivery system type and rootzone construction methods. Three rootzone constructions, two two-layered (analogous to the national standard) and one three-layered, were evaluated under both SPR-irrigation and SDI. The volumetric water content (VWC) was monitored at multiple depths and time intervals following irrigation events. The second study investigated turfgrass quality and water storage in a two-year field trial (2023 and 2024) under deficit irrigation conditions, specifically 60% reference evapotranspiration (ETO). Turfgrass plots featuring perennial ryegrass (Lolium perenne L.) and employing the same three rootzone construction methods used in the greenhouse condition were irrigated using either SPR or SDI. Key performance indicators included turfgrass quality (TQ), rootzone water storage (RWS), and soil water tension (SWT). In the third study, the HYDRUS-2D finite element model was employed to simulate water dynamics within the rootzones and associated irrigation delivery systems (SPR and SDI) based on the observed greenhouse data. The model incorporated soil hydraulic parameters, determined through laboratory analysis, for each material employed in this study. The calibration and validation of the model were conducted with a focus on optimizing model quality and minimizing the discrepancies between observed and simulated outputs, particularly in relation to volumetric water content. The results of the investigations showed that the greenhouse trials revealed distinct patterns of soil moisture distribution across irrigation systems and rootzone designs. SPR-irrigated plots exhibited rapid volumetric water content (VWC) increases at shallow depths (3 cm) followed by substantial decreases within 72 hours, particularly under two-layered designs. Three-layered SDI plots showed a pronounced capillary rise in irrigation water combined with sustained irrigation water retention in the soil matrix, highlighting the system’s efficiency. The field trials demonstrated significant differences in RWS and SWT across rootzone constructions. Two-layered designs under SDI experienced high SWT values (>120 kPa), indicating insufficient moisture retention. In contrast, three-layered designs maintained lower SWT (<15 kPa) and higher RWS after 35 days of 60% deficit irrigation. TQ declined rapidly in two-layered SDI variants, with an unacceptable TQ (<6) observed 14 days after study initiation. In contrast, three-layered SDI variants achieved the highest TQ throughout the study, demonstrating their resilience under water-limited conditions. SPR-irrigated variants initially exhibited acceptable TQ but failed to maintain it beyond 28 days due to poor water retention in sandy rootzones and high evaporation loss during irrigation. An exception was the three-layered SPR variants, which maintained an acceptable TQ throughout the testing period. The HYDRUS-2D model effectively simulated water distribution under both SDI and SPR systems, with calibrated parameters yielding improved model quality values. Sensitivity analyses identified shape factors α and n determining the soil hydraulic functions as critical parameters influencing model quality, particularly under SDI conditions with high spatial variability. Incorporating hysteresis effects in the model´s soil water retention function improved the model's accuracy. The collective results underscore the complex but manageable interplay between irrigation delivery system and rootzone construction. While effective at initial near-surface wetting, sprinkler systems fail to provide lasting soil moisture retention. Conversely, SDI systems supported by a three-layered design that enhances capillary rise are highly efficient. From a sustainability standpoint, the three-layered SDI variants consistently demonstrated superior water retention under controlled conditions, as well as enhanced RWS and TQ under field conditions. These configurations enabled homogenous moisture distribution, maximized water use efficiency, and maintained high TQ—key goals in sustainable urban green and turfgrass management. The calibrated HYDRUS-2D model demonstrated its utility as a cost-effective tool for predicting water dynamics and developing efficient irrigation strategies. Future research should explore hybrid irrigation approaches combining SPR and SDI systems to assess water distribution and irrigation efficiency under open field conditions. Additionally, model-based approaches should incorporate root water uptake models to provide a more comprehensive understanding of soil–plant–water dynamics. The integrated findings of this cumulative dissertation contribute significantly to understanding how irrigation systems and rootzone construction influence soil moisture dynamics and turfgrass quality. The evidence underscores the benefits of harmonizing the rootzone construction method with the corresponding irrigation delivery system to achieve uniform moisture distribution and enhanced water use efficiency, particularly in the context of SDI. Moreover, simulation tools like HYDRUS-2D effectively support turfgrass irrigation management and water conservation efforts when appropriately calibrated. The synergy between empirical findings and modeling results supports a paradigm shift toward precise, site-specific irrigation strategies that enhance irrigation efficiency in turfgrass areas. Nonetheless, further trials in urban and sports turf environments are essential to facilitate the broader implementation of these strategies
Analysis of atmospheric wind and gust prediction
No full textThis thesis examines how atmospheric wind varies across a broad range of spatial and temporal scales, from fluctuations over seconds to patterns extending hundreds of kilometers. The analysis is based on long-term measurements from the offshore research platform FINO1 in the North Sea. A detailed investigation of scaling features in energy spectra and structure functions is carried out, using the local Taylor hypothesis to relate temporal observations to spatial flow structures.
Despite varying weather conditions, the smallest scales below the measurement height consistently exhibit signatures of classical three-dimensional turbulence. At intermediate scales between the measurement height and the typical height of the planetary boundary layer, the influence of the Earth's surface becomes apparent through patterns characteristic of wall-bounded turbulence. On horizontal scales of tens or hundreds of kilometers, buoyancy-driven internal gravity waves and quasi-two-dimensional geostrophic turbulence shaped by Earth's rotation dominate the wind field. The transition between the gravity-wave and the geostrophic regime manifests itself in a remarkably abrupt sign change of the third-order structure function. It occurs at a scale of 500 km, which can be explained by the maximum horizontal length scale permitted by gravity wave dynamics. In both regimes, the scaling of structure functions agrees well with aircraft measurements reported in the literature. The analysis demonstrates that applying the Taylor hypothesis locally is essential for obtaining the correct scaling behavior.
Distributions of velocity increments reveal an additional, secondary peak at scales corresponding to the gravity-wave regime. These secondary maxima play a decisive role in producing the observed scaling of structure functions. Moreover, anticorrelations in increment time series are linked to the constraint of finite turbulent kinetic energy.
The final part of the thesis focuses on short-term gust prediction. Existing wind gust definitions in the literature are critically reviewed, and gusts are defined on a physical basis as sudden changes in drag force or wind power. Autoregressive models may be used to predict single gust events, but they tend to forecast gusts persistently in gusty phases. To address this problem, ARCH-type models are employed to predict the variance of wind speed increments, which correlates with the number of gusts within a given time window. This approach offers a complementary perspective on short-term gust predictability relevant for wind energy and aviation
Formative Years of a Key Term in Migration Politics
No full textThe term ‘Gastarbeiter’ (guest workers) has made a global career across media, scholarly, and political contexts from the 1920s to the present – often through translation into other languages (Rass 2023). However, the formative period of this category of migration policy during the Nazi era (1933–1945) remains incompletely understood. Project A3 of Collaborative Research Center 1604 (Production of Migration) at the Institut für Migrationsforschung und Interkulturelle Studien (IMIS), Universität Osnabrück, examines the historical semantics of such key terms through digital corpus analysis. Engagement with such terms can employ different approaches and methods, from qualitative content analysis to quantifying text mining procedures. The number of digital text corpora available as source material for such purposes has been growing rapidly and dynamically for several years. This expansion is occurring in a complex landscape of national and international full-text databases, presenting both opportunities and challenges. This essay probes deeper into the history of the term ‘Gastarbeiter’ during the Nazi period using two of the largest newspaper databases available in Germany to reflect on their potential as historical sources in relation to this topic.
This analysis of newspaper articles documented in the German National Library Newspaper Portal and the North Rhine-Westphalia Newspaper Portal reveals that ‘Gastarbeiter’ underwent systematic propagandistic appropriation between 1941 and 1945, with peak usage in 1943–1944. The term served multiple strategic functions in Nazi discourse: euphemizing forced labor as temporary guest work, hierarchizing foreign workers within the racial order of the “Volksgemeinschaft”, and legitimating mass exploitation through associations with prewar practices of governing international labor migration. The regime deployed ‘Gastarbeiter’ in coordinated propaganda campaigns that framed foreign labor deployment as part of a European project under German leadership. By November 1944, facing military defeat, the regime attempted to upgrade even ‘Ostarbeiter’ to ‘Gastarbeiter’ status through the introduction of “Volkstumsabzeichen” (ethnic badges), revealing both the instrumental nature of these categorizations and the collapse of previously rigid racial hierarchies. These findings demonstrate how ‘Gastarbeiter’ acquired durable semantic properties during the Nazi period that would resonate in postwar West German discourse from 1961 onward. Methodologically, this study models an iterative approach to analyzing incomplete digital corpora, showing how provisional findings at successive stages of digitization can productively advance conceptual history without requiring impossible completeness
Clankriminalität
No full textDer Beitrag setzt sich kritisch mit dem in Medien, Politik und Polizeiarbeit etablierten Begriff der Clankriminalität auseinander. Ausgehend von der Annahme, dass Begriffe soziale Wirklichkeit nicht nur beschreiben, sondern aktiv mit hervorbringen, wird die besondere Wirkmacht dieses Begriffs im Kontext zwangsbefugter staatlicher Praxis analysiert. Nach einem Überblick über die historische Bedeutung des Begriffs Clan und seine Übernahme in ethnologische, soziologische sowie alltags- und kriminalpolitische Diskurse werden die aktuellen behördlichen und medialen Verwendungsweisen von ‚Clankriminalität‘ untersucht. Im Mittelpunkt stehen dabei die mit dem Begriff verbundenen Konnotationen und Implikationen, insbesondere hinsichtlich Ethnisierung, Abschottung, Fremdheitszuschreibungen, Primordialismus sowie der Konstruktion familiärer ‚Schicksalsgemeinschaften‘. Es wird gezeigt, dass der Begriff Wahrnehmungen von Kriminalität verzerrt und argumentiert, dass Clankriminalität als Analyse- und Kommunikationskategorie in der Polizeiarbeit daher grundlegend zu überdenken ist
Artificial Intelligence and Machine Evolution
No full textThis working paper provides a brief overview on Artificial Intelligence (AI) and Machine
Evolution. Machine Evolution can be understood as a situation where machines autonomously
create new machines which create further machines and so on. While such an evolution is not
yet possible, substantial progress was made in multiple areas which bring machines and AI
much closer to full autonomy, self-learning, and adaptation for their self-improvement.
These developments accelerate the technological progress, but make huma oversight and
interventions increasingly difficult, i.e., instead of being in the loop, humans are moved out of
the loop. Advances include the AI-assisted design of computer chips, the AI-assisted design
of entire computers, self-learning and improving AI agents in experimental settings as well as
automated fabrications. Already in 2024, the machine learning-based AI program AlphaChip
generated superhuman chip layouts and created in 2025 the new Ironwood TPU as one of the
fastest marketed chips. China is advancing as well with the chip-designing AI QiMeng that
already designed chips comparable with commercial chips. The chip design research is
advancing rapidly. The first three-dimensional monolithic 3D chip to accelerate AI was
presented by researchers of the Stanford University in December 2025. The Shanghai-based
company CHIPX released a photonic quantum chip that for some mathematical operations
was 1000 times faster than conventional chips. Quilter's physics-driven reinforcement learning
AI system designed in the Project Speedrun a working 843-component Linux computer in only
38 hours and autonomously completed 98% of placement, routing, and physics.
New ways of AI training and learning were proposed in 2025; the networking and information
exchange between AI agents in the first step and the open-ended evolution of AI agents in the
second step by the so-called Darwin Gödel Machine (DGM). Researchers from Google
DeepMind proposed that AI systems learn from each other and share their experience
permanently with unlimited development above humans, but networking and knowledge
exchange between AI system may amplify the risk for system errors and malfunction of the AI
agent ecosystem by exchange of inaccurate data. In 2025, the Darwin Gödel Machine (DGM)
was developed, a self-improving Coding AI Agent system that iteratively modifies its own code
and empirically validates each change using coding benchmarks which was effective in
experiments. The spread of robots may open the way into fully automated fabrications.
The human control of AI can be done by observation of output and action, but can be
complemented by monitoring of the chain of thoughts, i.e., the internal AI protocols that show
their reasoning (thinking) steps. The ability to observe the chain of thought of an AI is called
monitorability. There are concerns that novel AI architectures may reduce the monitorability
despite findings of hidden misalignment (scheming) where frontier AI models hide thoughts
e.g., to get rewards or to avoid reinforcement learning. Various researchers express serious
concerns about a potentially uncontrolled evolution e.g., by self-learning. The key concern is
that humans are currently not really prepared for this situation and may not be able to provide
sufficient oversight, i.e., the situation may get out of human control and for this reason, a strict
governance with regulations and supervision should be established
Guideline - Are you ready? Readiness to prevent childhood obesity in municipalities
No full textDie hohe Prävalenz von Übergewicht und Adipositas im Kindes- und Jugendalter stellt eine zentrale Herausforderung für die öffentliche Gesundheit dar und erfordert umfassende, systematisch geplante sowie lokal verankerte Präventionsstrategien. Kommunen nehmen hierbei eine Schlüsselrolle ein, da sie als übergeordnetes „Dach-Setting“ die strukturellen und organisatorischen Rahmenbedingungen für die Initiierung, Koordination und nachhaltige Umsetzung von Präventionsmaßnahmen schaffen. Ein entscheidender Erfolgsfaktor ist die kommunale Handlungsbereitschaft (Community Readiness), die maßgeblich beeinflusst, ob und in welchem Umfang präventive Strategien realisiert werden können.
Der vorliegende Leitfaden wurde entwickelt, um eine bestehende Lücke in Deutschland zu schließen: die bislang fehlende spezifische Anwendung des Community Readiness Models auf die Prävention von Kinderübergewicht im kommunalen Kontext. Aufbauend auf dem Originalhandbuch des Community Readiness Models wurde das Instrument übersetzt, thematisch angepasst und praxisorientiert weiterentwickelt. Der Leitfaden ermöglicht Kommunen, ihre Handlungsbereitschaft systematisch zu erfassen, zu bewerten und gezielt weiterzuentwickeln, um darauf aufbauend bedarfsgerechte Präventionsmaßnahmen zu planen und umzusetzen.
Der Leitfaden richtet sich an kommunale Fachkräfte, Entscheidungsträger*innen und Multiplikator*innen und umfasst eine Einführung in das Konzept der kommunalen Handlungsbereitschaft, eine Anleitung zur Anwendung des Community Readiness Models, eine Checkliste zur Identifikation fördernder und hemmender Faktoren sowie konkrete Handlungsempfehlungen und unterstützende Materialien zur Umsetzung. Über den Fokus der Übergewichtsprävention im Kindes- und Jugendalter hinaus bietet der Leitfaden auch Potenzial für die Anwendung in weiteren Handlungsfeldern der Gesundheitsförderung und Prävention